“Implementación de un sistema de gestión de la demanda eléctrica basado en la caracterización de los recursos en micro-redes”

Abstract

Technology development actually provides of a certain advantage in use and conservation of resources. Consequently, there is an important increase in generation based on non-conventional renewable resources that are integrated into new electrical systems such as microgrids (MR). This article focuses on the characterization based on the different variables presented by distributed energy resources such as photovoltaic, wind and energy storage, whose performance within microgrids establish an important role in reducing fossil fuels thus, a minimization in the emission of greenhouse gases, determining which is the most efficient in terms of the contribution of electrical energy to the system. This paper performs a management of distributed resources including the electrical network in order to satisfy the demand under three representative scenarios (a working day, non-working day and in pandemic) for a residential user, considering the model that determines the highest energy contribution based on the efficiency of each model, applying a linear programming which allows to have an optimal solution at the lowest cost of purchasing electricity from the grid. Finally, the results of both characterization and management are shown, considering the random nature of the distributed resources.